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Language Skills

R
SQL
C++
Python
Bash
HTML/CSS
Javascript

Disclaimer

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Reda Mastouri

Data scientist proficient in statistics, machine learning, and software engineering. Comfortable with R, python, SQL, and C++ using functional programming and object-oriented design. Examples of my work include machine learning models to optimize sales and marketing programs with an estimated impact of $1 million net revenue annually at a financial institution; I have also built/maintained models to detect risky behavior across millions of third-party sellers on amazon.com. Outside of work, I enjoy distance running, reading, and developing/implementing algorithms in Python.

Industry Experience

Data Scientist

Amazon

Carteret, NJ

Current - 2017

  • Build machine learning models to detect Amazon seller fraud activity
  • Manage ETL pipelines to enable automated work-flows
  • Maintain model efficacy through retraining and error analysis
  • Create software tools to monitor machine learning models in production

AVP, Lead Data Scientist

Nuveen

Chicago, IL

2020 - 2017

  • Pioneered end-to-end (execution and experimental design) deep learning time series model for client onboarding; estimated impact of the model was $1 million net revenue annually that maximized client journey (improvement in client retention, client growth, etc.)
  • Built recommendation engine for 150,000 clients in 50+ products
  • Presented model/analysis to executive management; results included model adoption by 100+ sales people and a significant increase sales for clients treated by the model
  • Conceptualized and created simulation engine that isolated, detected and measured the ROI impact of company sales events

Senior Equity Research Associate, Financial Services

Raymond James Financial, Inc.

Chicago, IL

2017 - 2014

  • Built company and industry models using finance and statistical techniques, including regression and discounted cash flows (DCF)

Education

PhD in Decision Networks & Artificial Intelligence

ENSIAS, Ecole Normale Superieur de l'Enseignement Technique

Rabat, Morocco

Current - 2021

  • C++ data structure & algorithms, object-oriented design and programming, systems programming, and software planning and development

MSc. in Data Sciences

Saint Peter's University

Jersey City, NJ

2021

  • Coursework in statistics, linear algebra, machine learning, and deep learning

B.S. in Computer Sciences

New Jersey Institute of Technology

Newark, NJ

2020

  • C/C++ Data structures & algorithms, object-oriented design and programming

B.A. in Mathematics

Rutgers University

Newark, NJ

2019

Selected Code Repositories

Machine learning decision tree and data frame implementation in C++

Github

Seattle, WA

2021

  • Authored with John Nguyen

Generative adversarial network used to generate musical samples

University of Chicago

Chicago, IL

2020

  • Capstone project and paper authored with Terry Wang and Rima Mittal. Supervised by Yuri Balasanov

In my free time, I enjoy working with friends, peers, and colleagues on algorithm designs/implementations. Recently, we built data frame and decision tree classes in C++.

Teaching Experience

I am passionate about teaching and helping others. It brings me joy and satisfication to teach others new skills.

Data Understanding via SQL, Databases, and R

University of Chicago

Remote

Current - 2020

  • TA and lecture
  • Topics include introduction to databases, mySQL, and R

MastersTrack Statistics for Machine Learning

University of Chicago

Coursera

Current - 2020

  • TA and lecture
  • Topics include simple and multiple regression, logistic regression, hypothesis testing, variable transformations

MastersTrack Machine Learning

University of Chicago

Coursera

Current - 2020

  • TA
  • Topics include a survey of machine learning algorithms: kNN, support vector machine, decision tree, random forest, boosted trees, and clustering algorithms